## Analysis of Home Prices and Market Returns### Home Price Survey in a Metropolitan AreaA study of 40 home prices in a metropolitan area yielded the following results:| Price | Less than $200,000 | Equal to $200,000 | More than $200,000 ||---------------------|--------------------|-------------------|--------------------|| Number of homes | 13 | 1 | 27 |### Hypothesis Testing1. **Hypothesis 1:** - Test if the median price in the metropolitan area is $200,000.2. **Hypothesis 2:** - Test if the median price in the metropolitan area is more than $200,000.Both tests use a significance level of α = 0.05. Formulate your hypotheses, apply the binomial approach, and detail your calculations, including p-values for both hypotheses.### Regression Analysis on Market ReturnsA proposed relationship between annual security return and market return can be defined by the regression model:\[ y = mx + b + \varepsilon \]- **y**: Annual return of the security- **x**: Annual return of the market- **b**: Intercept- **ε**: Normally distributed noise**Return** is calculated as:\[ \text{Return} = \text{value at end of the year} + \text{received dividends during the year} - \text{value at the beginning of the year} \]### Model Testing Approach1. Retrieve annual data for a security of your choice and a financial index like the S&P 500 as the market indicator.2. Use the past 20 years as your timeframe for analysis.3. Conduct a regression analysis that includes hypothesis testing.4. Report findings, include conclusions, significance levels, and present the final regression model.5. Provide a scatterplot with the regression line, analyze residuals, and check their normality.Consider if the model is valid. Determine whether there is a positive or adverse influence and specify if your regression model shows outperformance or underperformance relative to the market. Provide a detailed explanation of your work.

Name: ## Analysis of Home Prices and Market Returns### Home Price Survey in
Uploaded: 2024-03-20T07:07:00.000Z
Channel: Bartleby
Description: ## Analysis of Home Prices and Market Returns### Home Price Survey in a Metropolitan AreaA study of 40 home prices in a metropolitan area yielded the following results:| Price | Less than $200,000 | Equal to $200,000 | More than $200,0

Since you have posted multiple questions, we will solve the first question for you. If you want any…

Math

Statistics

4. A survey of 40 home prices in a metropolitan area has the following results. Price Less than $200,000 Equal to $200,000 More than $200,000 Number of homes 13 1 27 1. Test the hypothesis that the median price in the metropolitan is $200,000 2. Test the hypothesis that the median price in the metropolitan is more than $200,000 a = 0.05 in both cases. Include hypothesis formulation, use the binomial approach, and explain your calculations in detail. Include p values in both cases.

4. A survey of 40 home prices in a metropolitan area has the following results. Price Less than $200,000 Equal to $200,000 More than $200,000 Number of homes 13 1 27 1. Test the hypothesis that the median price in the metropolitan is $200,000 2. Test the hypothesis that the median price in the metropolitan is more than $200,000 a = 0.05 in both cases. Include hypothesis formulation, use the binomial approach, and explain your calculations in detail. Include p values in both cases.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

b. The offensive line of a football team is larger than in previous years. The program will list a statistic to show this fact. Mean Median Mode ►
Burger King has recently added new menu items in the last few years. Q. How are you going to decide which menu items are potential winners? What statistical tests or inferential statistics can you conduct?
If sample data is such that for a one-tailed test of ? you can reject H0 at the 1% level of significance, can you always reject H0 for a two-tailed test at the same level of significance? Explain your answer? A. Yes. If H0 for a one-tailed test is rejected at the 1% level of significance, it will always be rejected for a two-tailed test at the same level of significance. B. No. If H0 for a one-tailed test is rejected at the 1% level of significance, it will never be rejected for a two-tailed test at the same level of significance. C. Yes. The P-value for the two-tailed test could be greater than 0.01. D. No. The P-value for the two-tailed test could be greater than 0.01.
A political scientist claims that 38% of first-year college students characterize themselves as being “moderate” or “middle of the road” as far as their political affiliation is concerned. Believing this claimed value is too high, you survey a random sample of 400 first-year college students and find that 120 characterize themselves as being “moderate” or “middle of the road.” Based on this information, what will the test statistic be? Choose the answer below that is closest to what you calculate, and try not to do a lot of rounding until you get to the very end of your calculations. 1. -0.3 2. -1.2 3. -2.6 4. -3.3 5. None of the other answer options are correct because the test statistic should be positive, not negative.
A Realtor believes that the average house price in Mission Viejo, California, is more than $480 thousand. %media:11excel.png% Click here for the Excel Data File a. Select the null and the alternative hypotheses for the test. Ho: H=480,000; HA: H# 480,000 Ho: H≤ 480,000; HA: > 480,000 Ho: ≥ 480,000; HA: H< 480,000 b. Calculate the p-value. Assume the population standard deviation is $100 (in $1,000s). (Round your answer to 4 decimal places.) p-value
According to a report on consumer fraud and identity theft, 20% of all complaints for a year were for identity theft. In that year, California had 724 complaints of identity theft out of 3466 consumer complaints. Does this data provide enough evidence to show that California had a higher proportion of identity theft than 20%? Test at the 5% level. State the hypotheses. Ho: P ? ✓ Ha: P?V Calculate the test statistic. Round to four decimal places. Ô = Calculate the standardized test statistic. Round to three decimal places. Z= Find the p-value. Round to four decimal places. p-value = State your decision. O Since the p-value is less than .05, reject Ho. O Since the p-value is less than .05, fail to reject Ho. Since the p-value is greater than .05, fail to reject Ho. Since the p-value is greater than .05, reject Ho. Interpret the results. O At the 5% level of significance, there is not enough evidence to show that the proportion of complaints due to identity theft in California is not…
10. a. Define the distribution of sample means. b. Describe what is measured by the standard error of M.
Please answer the following question using *********EXCEL******
According to a report on consumer fraud and identity theft, 20% of all complaints for a year were for identity theft. In that year, Rhode Island had 717 complaints of identity theft out of 3498 consumer complaints. Does this data provide enough evidence to show that Rhode Island had a higher proportion of identity theft than 20%? Test at the 5% level. State the hypotheses. Họ: p ? Ha: P Calculate the test statistic. Round to four decimal places. Calculate the standardized test statistic. Round to three decimal places. z = Find the p-value. Round to four decimal places. p-value = State your decision. O Since the p-value is less than .05, reject Ho. O Since the p-value is greater than .05, fail to reject Hg. O Since the p-value is less than .05, fail to reject Hg. O Since the p-value is greater than .05, reject Ho. Interpret the results. O At the 5% level of significance, there is enough evidence to show that the proportion of complaints due to identity theft in Rhode Island is more than…
Perform a hypothesis proportion test for the number of iPhone users on Verizon and AT&T for the following data. Over a 2 day period, recording the number of phone customers for AT&T and Verizon, there were a total of 47 total Verizon customers. 29 of those 47 opened an apple iPhone. For AT&T, there were a total of 41 customers. 22 of those 41 owned an apple iPhone.
What is a Type I error in this problem? A. A Type I error would be to conclude that the true mean level of support for sustainability is not 66 when, in fact, the mean is equal to 66. B. A Type I error would be to conclude that the sample mean level of support for sustainability is greater than 66 when, in fact, the sample mean is less than 66. C. A Type I error would be to conclude that the true mean level of support for sustainability is 66 when, in fact, the mean is not equal to 66. D. A Type I error would be to conclude that the sample mean level of support for sustainability is less than 66 when, in fact, the sample mean is greater than 66.
2. Toastmasters International cites a report by Gallup Poll that 40% of Americans fear public speaking. A student believes that less than 40% of students at her school fear public speaking. She randomly surveys 361 schoolmates and finds that 137 report they fear public speaking. Conduct a hypothesis test at the 5% level to determine the percent at her school is less than 40%. a. State the distribution to use for the test. (Round your answers to four decimal places.) P'-N(.40, )